Remote-Sensing Monitoring of Green Tide and Its Drifting Trajectories in Yellow Sea Based on Observation Data of Geostationary Ocean Color Imager

Ying Chen; Deyong Sun; Hailong Zhang; Shengqiang Wang; Zhongfeng Qiu; Yijun He

doi:10.3788/AOS202040.0301001

[1] Liu D Y, Keesing J K, He P M et al. The world's largest macroalgal bloom in the Yellow Sea, China: formation and implications[J]. Estuarine, Coastal and Shelf Science, 129, 2-10(2013). http://www.sciencedirect.com/science/article/pii/S0272771413002448

[2] Zhang H L, Sun D Y, Li J S et al. Remote sensing algorithm for detecting green tide in China coastal waters based on GF1-WFV and HJ-CCD data[J]. Acta Optica Sinica, 36, 0601004(2016).

[3] Wang M Q, Hu C M. Mapping and quantifying sargassum distribution and coverage in the central West Atlantic using MODIS observations[J]. Remote Sensing of Environment, 183, 350-367(2016).

[4] Kudela R M, Berdalet E, Enevoldsen H et al. GEOHAB: The Global Ecology and Oceanography of Harmful Algal Blooms Program MOTIVATION, GOALS, AND LEGACY[J]. Oceanography, 30, 12-21(2017).

[5] Liang Z Y, Lin X Z, Ma M et al. A preliminary study of the Enteromorpha prolifera drift gathering causing the green tide phenomenon[J]. Periodical of Ocean University of China, 38, 601-604(2008).

[6] Cui T W, Zhang J, Sun L E et al. Satellite monitoring of massive green macroalgae bloom (GMB): imaging ability comparison of multi-source data and drifting velocity estimation[J]. International Journal of Remote Sensing, 33, 5513-5527(2012).

[7] Qi L, Hu C M, Wang M Q et al. Floating algae blooms in the East China Sea[J]. Geophysical Research Letters, 44, 11501-11509(2017).

[8] Hu C M, He M X. Origin and offshore extent of floating algae in Olympic sailing area[J]. Eos, Transactions American Geophysical Union, 89, 302-303(2008).

[9] Son Y B, Min J E, Ryu J H. Detecting massive green algae (Ulva prolifera) blooms in the Yellow Sea and East China Sea using geostationary ocean color imager (GOCI) data[J]. Ocean Science Journal, 47, 359-375(2012).

[10] Hu C M. A novel ocean color index to detect floating algae in the global oceans[J]. Remote Sensing of Environment, 113, 2118-2129(2009).

[11] Xing Q G, Hu C M. Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: application of a virtual baseline reflectance height technique[J]. Remote Sensing of Environment, 178, 113-126(2016).

[12] Zhang H L, Qiu Z F, Devred E et al. A simple and effective method for monitoring floating green macroalgae blooms: a case study in the Yellow Sea[J]. Optics Express, 27, 4528-4548(2019).

[13] Xiao Y F, Zhang J, Cui T W. High-precision extraction of nearshore green tides using satellite remote sensing data of the Yellow Sea, China[J]. International Journal of Remote Sensing, 38, 1626-1641(2017).

[14] Su Q, Yang F H, Wang M L et al. The research on the method of extracting NDVI based on K-T transformation[J]. Geomatics & Spatial Information Technology, 33, 150-152(2010).

[15] Chen L, Lin H. Vegetation information extraction based on K-T transform and principal component transform[J]. Journal of Central South University of Forestry & Technology, 34, 81-84(2014).

[16] Zhu D K. Jiangsu marine environment and coastal economic development[J]. Water Resources Protection, 19, 19-21, 64(2003).

[17] Gao Z H, Yang J Q, Zhang H L et al[M]. Occurrence condition and prevention techniques of green tide disaster, 80-92(2009).

[18] Ding M J, Qiu Z F, Zhang H L et al. Inversion algorithm for turbidity of Bohai and Yellow Seas based on NPP-VIIRS satellite data[J]. Acta Optica Sinica, 39, 0601002(2019).

[19] Su X P, Sun D Y, Wang S Q et al. Remote sensing to estimate sea-surface density of Yellow and Bohai Seas off the east coast of China[J]. Laser & Optoelectronics Progress, 56, 110101(2019).

[20] Ryu J H, Han H J, Cho S et al. Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)[J]. Ocean Science Journal, 47, 223-233(2012).

[21] Ahn J H, Park Y J, Ryu J H et al. Development of atmospheric correction algorithm for geostationary ocean color imager (GOCI)[J]. Ocean Science Journal, 47, 247-259(2012).

[22] Atlas R, Hoffman R N, Ardizzone J et al. A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications[J]. Bulletin of the American Meteorological Society, 92, 157-174(2011).

[23] Kauth R J, Thomas G S. The tasselled cap--a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. [C]∥LARS Symposia., 159(1976).

[24] Chen C, Jiang T, Liu X L. Research on remote sensing image fusion methods based on tasseled cap transformation[J]. Science of Surveying and Mapping, 34, 105-106, 163(2009).

[25] Huang C, Wylie B, Yang L et al. Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance[J]. International Journal of Remote Sensing, 23, 1741-1748(2002). http://www.tandfonline.com/doi/abs/10.1080/01431160110106113

[26] Baig M H A, Zhang L F, Shuai T et al. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance[J]. Remote Sensing Letters, 5, 423-431(2014). http://www.tandfonline.com/doi/abs/10.1080/2150704X.2014.915434

[27] Chen C X, Tang P, Bian Z. Tasseled cap transformation for HJ-1A/B charge coupled device images[J]. Journal of Applied Remote Sensing, 6, 063575(2012).

[28] Horne J H. A tasseled cap transformation for IKONOS images. [C]∥ASPRS 2003 Annual conference proceedings, May 2003, Anchorage, Alaska. [S.l.: s.n.](2003).

[29] Wei Y C, Tang G A, Yang X et al[M]. Remote sensing digital image processing tutorial, 138-139(2007).

[30] Zhang J Q, Guan W, Sun P et al. Automatic water bodies extraction model based on K-T transformation[J]. Science of Soil and Water Conservation, 9, 88-92(2011).

[31] Jackson R D. Spectral indices in n-space[J]. Remote Sensing of Environment, 13, 409-421(1983).

[32] Moran M S, Vidal A, Troufleau D et al. Combining multifrequency microwave and optical data for crop management[J]. Remote Sensing of Environment, 61, 96-109(1997).

[33] Zhu Z, Woodcock C E. Object-based cloud and cloud shadow detection in Landsat imagery[J]. Remote Sensing of Environment, 118, 83-94(2012).

[34] Yuan Y B, Qiu Z F, Sun D Y et al. Daytime sea fog retrieval based on GOCI data: a case study over the Yellow Sea[J]. Optics Express, 24, 787-801(2016).

[35] Congalton R G. A review of assessing the accuracy of classifications of remotely sensed data[J]. Remote Sensing of Environment, 37, 35-46(1991).

[36] Fawcett T. An introduction to ROC analysis[J]. Pattern Recognition Letters, 27, 861-874(2006).

[37] Qiu Z F, Li Z X, Bilal M et al. Automatic method to monitor floating macroalgae blooms based on multilayer perceptron: case study of Yellow Sea using GOCI images[J]. Optics Express, 26, 26810-26829(2018).

[38] Ma Y, Guo L N, Huang R et al. Meteorological conditions of Enteromorpha prolifera outbreak and its movement in Qingdao seashore from 2008 to 2010[J]. Journal of Meteorology and Environment, 31, 89-96(2015).

[39] Li Y S, Pan L Z, Xiao W J et al. Effect of wind on the drifting of green macroalgae in the Yellow Sea[J]. Marine Environmental Science, 33, 772-776(2014).

[40] Zheng X Y, Xing Q G, Li L et al. Numerical simulation of the 2008 green tide in the Yellow Sea[J]. Marine Sciences, 35, 82-87(2011).

[41] Lee J H, Pang I C, Moon I J et al. On physical factors that controlled the massive green tide occurrence along the southern coast of the Shandong Peninsula in 2008: a numerical study using a particle-tracking experiment[J]. Journal of Geophysical Research, 116, C12036(2011).

[42] Gao S, Huang J, Bai T et al. Analysis on drifting path of green tides in the Yellow Sea in 2008 and 2009[J]. Marine Sciences, 38, 86-90(2014).